全球能源互联网（英文）2021，Vol.4Issue(1)：58-68,11.DOI:10.14171/j.2096-5117.gei.2021.01.006
基于多元负荷预测误差的综合能源系统动态时间尺度调度策略
The IES dynamic time-scale scheduling strategy based on multiple load forecasting errors
摘要
Abstract
Considering the complex coupling of multiple energies and the varying load forecasting errors for an integrated energy system (IES), this study proposes a dynamic time-scale scheduling strategy based on long short-term memory (LSTM) and multiple load forecasting errors. This strategy dynamically selects a hybrid timescale which is suitable for a variety of energies for each month. This is obtained by combining the mean absolute percentage error (MAPE) curve of the load forecasting with the error restriction requirements of the dispatcher. Based on the day-ahead scheduling plan, the output of the partial equipment is selectively adjusted at each time-scale to realize multi-energy collaborative optimization and gives full play to the comprehensive advantages of the IES. This is achieved by considering the differences in the response speed for each piece of equipment within the intra-day scheduling. This study uses the IES as an example, and it dynamically determines the time scale of the energy monthly. In addition, this investigation presents a detailed analysis of the output plan of the key equipment to demonstrate the necessity and the advantages of the strategy.关键词
综合能源系统/长短时记忆网络/动态时间尺度/多层优化Key words
integrated energy system/long short-term memory/dynamic time-scale/multi-layer optimization引用本文复制引用
Fan Sun,Ran Li,Yi Han,Shouang Liu,Fanrui Liu,Huilan Liu..基于多元负荷预测误差的综合能源系统动态时间尺度调度策略[J].全球能源互联网（英文）,2021,4(1):58-68,11.基金项目
This work is supported by the Fundamental Research Funds for the Central Universities (No. 2017MS093). （No. 2017MS093）
